# Percona Percona is an open-source database software, support, and services company that builds software for MySQL, PostgreSQL, MongoDB, Valkey, and Redis. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Postgres week in the Netherlands: PGDay Lowlands & Percona Live 2026 DevFeed: [Postgres week in the Netherlands: PGDay Lowlands & Percona Live 2026]() Original publisher: [Read original article]() Author: Gülçin Yıldırım Jelínek Published: 2026-09-17T14:02:33Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [PostgreSQL](), [clickhouse](), [Monitoring](), [Percona]() Tags: [2026](), [clickhouse](), [conference](), [monitoring](), [notes](), [percona](), [percona-live](), [postgres](), [postgresql]() ### AI overview Notes from PGDay Lowlands and Percona Live 2026, including a lightning talk about using pg_clickhouse and pg_stat_ch to combine PostgreSQL with ClickHouse for analytics, plus a session on PostgreSQL 19 monitoring. ### Source excerpt Notes from three days in the Netherlands, featuring a lightning talk on pg_clickhouse and pg_stat_ch at PGDay Lowlands and a session on PostgreSQL 19 monitoring at Percona Live Amsterdam. ## pgBackRest Compression: How Much CPU Is a Smaller Backup Worth? DevFeed: [pgBackRest Compression: How Much CPU Is a Smaller Backup Worth?]() Original publisher: [Read original article]() Author: Agustín Gallego Published: 2026-09-16T21:43:06Z Content type: comparison Language: en Sources: [Blog - Percona]() Topics: [Compression](), [Algorithms](), [PostgreSQL](), [postgresql 18](), [backups](), [Percona]() Tags: [algorithms](), [backup](), [compare](), [compression](), [cpu](), [percona](), [postgresql](), [postgresql-18](), [uncategorized]() ### AI overview This comparison measures pgBackRest compression algorithms and levels on Percona Distribution for PostgreSQL 18.4. It finds that low-level Zstandard offers a favorable balance between CPU use and backup size, with zst(3) near the efficiency curve's shoulder. ### Source excerpt In this blog post, we'll compare pgBackRest's compression algorithms and levels to find where spending more CPU stops buying a meaningfully smaller backup. The short version of the answer, which we'll build up to with real numbers, is that Zstandard at a low level is the sweet spot, and its default (zst(3)) already sits right ... Continued The post pgBackRest Compression: How Much CPU Is a Smaller Backup Worth? appeared first on Percona. ## Performance improvements in Percona Server 8.4.11-11 DevFeed: [Performance improvements in Percona Server 8.4.11-11]() Original publisher: [Read original article]() Author: Bogdan Degtyariov Published: 2026-09-15T11:52:54Z Content type: article Language: en Sources: [Blog - Percona]() Topics: [Percona Server for MySQL](), [Percona](), [MySQL](), [Cache](), [Scalability](), [Database]() Tags: [benchmark](), [benchmarks](), [cache](), [io](), [mysql](), [percona](), [percona-server-for-mysql](), [performance](), [scalability]() ### AI overview This article describes performance and scalability improvements in Percona Server for MySQL 8.4.11-11, focusing on changes to the InnoDB buffer pool and page flushing. It explains how narrowing mutex coverage and using finer-grained latching allows physical reads to proceed more in parallel, particularly for read-heavy, I/O-bound workloads. ### Source excerpt Focusing on Percona Server 8.4.11-11 My previous post (Performance Progression of Percona Server for MySQL 8.4) did a brief review of the performance changes in Percona Server for MySQL 8.4 released in 2026. I recommend reading it first to better understand the material in this post. Version 8.4.11-11 includes patches that deliver significant improvements in ... Continued The post Performance improvements in Percona Server 8.4.11-11 appeared first on Percona. ## Stefan Fercot Joins Percona to Contribute to pgBackRest DevFeed: [Stefan Fercot Joins Percona to Contribute to pgBackRest]() Original publisher: [Read original article]() Author: Percona Team Published: 2026-09-09T15:55:38Z Content type: article Language: en Sources: [Blog - Percona]() Topics: [Percona](), [backups]() Tags: [backups](), [percona](), [percona-live](), [postgres](), [postgresql]() ### AI overview Stefan Fercot joined Percona's Postgres engineering team to increase its contributions to pgBackRest, a backup and restore tool. The article describes his prior advocacy for the project and Percona's sponsorship of its development. ### Source excerpt If you have spent any time in the Postgres community, you already know the name pgstef. Stefan Fercot has spent years as one of the most visible advocates for pgBackRest, a familiar face at European Postgres conferences, and countless hallway conversations about backups, high availability, and everything in between. Now he is doing that work ... Continued The post Meet pgstef: Why Stefan Fercot Joined Percona, and Why You Should Find Him at Percona Live Amsterdam appeared first on Percona. ## Daily MySQL backups with xtrabackup DevFeed: [Daily MySQL backups with xtrabackup]() Original publisher: [Read original article]() Author: Tom Published: 2016-04-23T00:00:00Z Content type: tutorial Language: en Sources: [Tomasz Gągor]() Topics: [backups](), [MySQL](), [Percona](), [Encryption](), [MariaDB](), [passwords]() Tags: [backup](), [backups](), [config](), [credentials](), [database](), [encryption](), [files](), [local](), [mariadb](), [mysql](), [nas](), [password](), [percona](), [script](), [security]() ### AI overview A tutorial on using xtrabackup for daily MySQL backups, including backup creation, encrypted credential handling, archive storage, and restoration. It compares xtrabackup with standard MySQL dumps and discusses MariaDB, Percona, and NAS storage. ### Source excerpt I've been using standard MySQL dumps as backup technique on my VPS for few years. It works fine and backups were usable few times when I needed them. But in other places I'm using xtrabackup1. It's faster when crating backups and a lot faster when restoring them - they're binary so there is no need to reevaluate all SQL create tables/inserts/etc. Backups also include my.cnf config file so restoring on other machine should be easy. ## Mention's CTO journey to 400,000 users DevFeed: [Mention's CTO journey to 400,000 users]() Original publisher: [Read original article]() Author: Hexa Published: 2015-10-22T12:17:15Z Content type: article Language: en Sources: [eFounders]() Topics: [App](), [Monitoring](), [Crawler](), [Concurrency](), [race-condition](), [Go Language](), [MySQL](), [API](), [Kafka](), [Redis](), [Percona](), [backups]() Tags: [api](), [backups](), [developer](), [development](), [dns](), [go](), [kafka](), [monitoring](), [mysql](), [percona](), [programming](), [race-condition](), [redis](), [startup](), [tech](), [users]() ### AI overview Mention's co-founder and CTO describes the technical challenges involved in growing the real-time monitoring application to 400,000 users. The article covers high-concurrency web crawling, a libc DNS resolver race condition, and the use of Go as a workaround. It also explains Mention's storage architecture using Percona MySQL, Redis for caching, Kafka for messaging, and incremental backups. ### Source excerpt Mention is a real-time monitoring application used to track and analyze trends and e-reputation in a very complete and intuitive way. Co-founded in 2010, it now counts 400,000 users across the world. This impressive growth rate not only implies great marketing talent but also impressive technical achievements. Arnaud le Blanc, Mention's co-founder and CTO, tells us about how he got Mention there. You gotta love technical challenges "When we developed Mention, our main competitor was Google Alerts, which feels a little like being David versus Goliath at first. But then it became one of the reasons I like my job: it is very challenging. Getting to this point of a product development involves a true entrepreneurial mindset. Before being Mention's CTO, I was a developer and then the lead developer working on the media monitoring feature at Pressking. eFounders offered me to become Mention's co-founder. I might not have thought of myself as an entrepreneur before, although today, I really feel like Mention is my product: I've built it together with my co-founders. Building an application like Mention is full of technical challenges. We handle a large amount of data, crawl thousands of web page per second, built an open API for our own apps, and use lots of third-party APIs." FOCUS: a challenge overcome when developing Mention's web crawler Since Mention crawls a large amount of web pages in parallel, there is a point when the crawler reaches a high concurrency level and stresses the OS: that is when we got to the limit of our system. In our case, these limits entailed the appearance of a race condition in the libc's DNS resolver. libc was sending over DNS queries on random unrelated file descriptors, which was leading to weird behaviors. The bug was reported and fixed a few months later, but in the meantime, we had to use the plain-Go DNS resolve, which happened to work really well. "At Mention, several millions of Mentions are inserted in user feeds per day (see infogra